Pest Analysis

What are drone-based pest analyses?

Do you have a problem with pest infestations caused by insects, mice, snails or other organisms? Agremo pest analyses can help. Send us your 2D map, request a pest analysis and tell us about the kind of problem you have, just like you would do when you go see a doctor. We then send you the exact location of all problem areas, which allows you to take yield-saving corrective measures.

The reason why Agremo pest analyses are so effective?

One of the reasons drone data is a very effective way to spot pest is that the entire surface is analyzed, which includes the ground as well as the plants and crops. And to make sure you obtain relevant and actionable data, our pest analyses are conducted in close cooperation with professional agronomists.

Pest analyses are performed during mid-season and late-season tasks as part of the regular plant and crop monitoring cycle in order to make sure your plants and crops are healthy during the entire growth cycle.

What are the benefits of drone-based pest analyses?

There are several benefits that drone-based pest analyses have compared to traditional measures.

Drone-based pest analyses are:

Fast and save time and resources

Able to cover around 500 acres in less than two hours

Accurate – with error rates lower than 2%. And with drones, you are able to analyze every inch of your field

Proactive and allow effective in-season corrective measures.

Example

The following pest analysis was performed on a Corn field and revealed the percentage and exact location of pest-infested areas.

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Disclaimer: People and plants are living beings – and living beings act differently from machines and algorithms. This is why Agremo does not claim to offer a complete or entirely error-free analysis of the provided data and cannot be held responsible for any errors, omissions, damages or losses of any kind. Agremo makes significant efforts to keep the underlying workflow as proficient and precise as possible, but there are numerous limiting factors which cannot be foreseen, excluded or modified. Such limiting factors can affect the results of the analyses and include low image quality, complex natural phenomenon, diseases which cannot be captured with today’s technology etc.